Put the ipynb file and html file in the github branch you created in the last assignment and submit the link to the commit in brightspace
from plotly.offline import init_notebook_mode
import plotly.io as pio
import plotly.express as px
init_notebook_mode(connected=True)
pio.renderers.default = "plotly_mimetype+notebook"
#load data
df = px.data.gapminder()
df.head()
| country | continent | year | lifeExp | pop | gdpPercap | iso_alpha | iso_num | |
|---|---|---|---|---|---|---|---|---|
| 0 | Afghanistan | Asia | 1952 | 28.801 | 8425333 | 779.445314 | AFG | 4 |
| 1 | Afghanistan | Asia | 1957 | 30.332 | 9240934 | 820.853030 | AFG | 4 |
| 2 | Afghanistan | Asia | 1962 | 31.997 | 10267083 | 853.100710 | AFG | 4 |
| 3 | Afghanistan | Asia | 1967 | 34.020 | 11537966 | 836.197138 | AFG | 4 |
| 4 | Afghanistan | Asia | 1972 | 36.088 | 13079460 | 739.981106 | AFG | 4 |
Recreate the barplot below that shows the population of different continents for the year 2007.
Hints:
df_2007=df.query("year==2007").groupby('continent').sum()
fig = px.bar(df_2007, x='pop', y=df_2007.index, color=df_2007.index)
fig.update_layout(showlegend=False)
fig.show()
fig.update_yaxes(categoryorder='sum ascending')
fig.show()
Add text to each bar that represents the population
fig = px.bar(df_2007, x='pop', y=df_2007.index, color=df_2007.index, text_auto='.2s')
fig.update_layout(showlegend=False)
fig.update_yaxes(categoryorder='sum ascending')
fig.update_traces(textposition='outside')
fig.show()
Thus far we looked at data from one year (2007). Lets create an animation to see the population growth of the continents through the years
fig = px.bar(df, x='pop', y='continent', color='continent', animation_frame='year',
range_x=(0,4000000000))
fig.update_layout(showlegend=False)
fig.update_yaxes(categoryorder='sum ascending')
fig.show()
Instead of the continents, lets look at individual countries. Create an animation that shows the population growth of the countries through the years
fig = px.bar(df, x='pop', y='country', color='country', animation_frame='year', animation_group='country',
range_x=(0,1400000000))
fig.update_layout(showlegend=False)
fig.update_yaxes(categoryorder='sum ascending')
fig.show()
Clean up the country animation. Set the height size of the figure to 1000 to have a better view of the animation
fig.update_layout(
autosize=False,
width=1000,
height=1000)
fig.show()
fig.update_yaxes(range=(132,142))
fig.update_layout(height=500)
fig.show()
df_group=df.groupby('country')
df_group.count()
| continent | year | lifeExp | pop | gdpPercap | iso_alpha | iso_num | |
|---|---|---|---|---|---|---|---|
| country | |||||||
| Afghanistan | 12 | 12 | 12 | 12 | 12 | 12 | 12 |
| Albania | 12 | 12 | 12 | 12 | 12 | 12 | 12 |
| Algeria | 12 | 12 | 12 | 12 | 12 | 12 | 12 |
| Angola | 12 | 12 | 12 | 12 | 12 | 12 | 12 |
| Argentina | 12 | 12 | 12 | 12 | 12 | 12 | 12 |
| ... | ... | ... | ... | ... | ... | ... | ... |
| Vietnam | 12 | 12 | 12 | 12 | 12 | 12 | 12 |
| West Bank and Gaza | 12 | 12 | 12 | 12 | 12 | 12 | 12 |
| Yemen, Rep. | 12 | 12 | 12 | 12 | 12 | 12 | 12 |
| Zambia | 12 | 12 | 12 | 12 | 12 | 12 | 12 |
| Zimbabwe | 12 | 12 | 12 | 12 | 12 | 12 | 12 |
142 rows × 7 columns